Twin support vector machines (TWSVMs) have been shown to be effective classifiers for a range of pattern classification tasks. However, the TWSVM formulation suffers from shortcomings: (i) uses hinge loss function which renders it sensitive dataset outliers (noise sensitivity). (ii) It requires matrix inversion calculation in Wolfe-dual is intractable datasets with large numbers features/sample...